mirror of
https://github.com/arc53/DocsGPT.git
synced 2025-11-29 08:33:20 +00:00
60 lines
3.3 KiB
HTML
60 lines
3.3 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<title>DocsGPT 🦖 Preview</title>
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<link href="{{url_for('static',filename='dist/css/output.css')}}" rel="stylesheet">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
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</head>
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<body>
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<header class="bg-white p-2 flex justify-between items-center">
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<h1 class="text-lg font-medium">DocsGPT 🦖 Very early Preview</h1>
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<a href="https://github.com/arc53/docsgpt" class="text-blue-500 hover:text-blue-800">About</a>
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</header>
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<div class="flex">
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<div class="w-3/4">
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<div class="w-full flex flex-col h-5/6">
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<div id="chat-container">
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<div id="messages" class="w-full flex flex-col" >
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<div class="bg-indigo-500 text-white p-2 rounded-lg mb-2 self-start">
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<p class="text-sm">Hello, ask me anything about this library. Im here to help</p>
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</div>
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<div class="bg-blue-500 text-white p-2 rounded-lg mb-2 self-end">
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<p class="text-sm">How to merge tables?</p>
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</div>
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<div class="bg-indigo-500 text-white p-2 rounded-lg mb-2 self-start">
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<p class="text-sm">To merge two tables in pandas, you can use the pd.merge() function. The basic syntax is:<br>
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pd.merge(left, right, on, how)<br>
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where left and right are the two tables to merge, on is the column to merge on, and how is the type of merge to perform.<br>
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For example, to merge the two tables df1 and df2 on the column 'key', you can use:<br>
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pd.merge(df1, df2, on='key', how='left')<br>
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This will return a new DataFrame with all the columns from both tables, and only the rows that match the 'key' column. </p>
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</div>
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</div>
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</div>
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<div class="flex mt-4 mb-2">
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<form id="message-form" autocomplete="off">
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<input autocomplete="false" id="message-input" class="bg-white p-2 rounded-lg ml-2 w-[46rem]" type="text" placeholder="Type your message here...">
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<button id="button-submit" class="bg-blue-500 text-white p-2 rounded-lg ml-2 mr-2 ml-2" type="submit">Send</button>
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</form>
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</div>
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</div>
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</div>
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<div class="w-1/4 p-2">
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<p class="text-sm">This is a chatbot that uses the GPT-3, Faiss and <a href="https://github.com/hwchase17/langchain" class="text-blue-500 hover:text-blue-800">Longchain</a> to answer questions</p>
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<br>
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<p class="text-sm">The source code is available on <a href="https://github.com/arc53/docsgpt" class="text-blue-500 hover:text-blue-800">Github</a></p><br>
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<p class="text-sm">Currently It uses python pandas documentation, so it will respond to information relevant to pandas. If you want to train it on different documentation - <a href="https://github.com/arc53/docsgpt/wiki/How-to-train-on-other-documentation" class="text-blue-500 hover:text-blue-800"> please follow this guide </a></p><br>
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<p class="text-sm">If you want to launch it on your own server - <a href="https://github.com/arc53/docsgpt/wiki/How-to-train-on-other-documentation" class="text-blue-500 hover:text-blue-800"> follow this guide </a></p>
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</div>
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</div>
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<script src="{{url_for('static',filename='src/chat.js')}}"></script>
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</body>
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</html>
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